基于MODIS数据的蒙山2001—2016年植被动态变化研究
|
摘要
基于不同波段影像构建的植被指数能够很好的反映植被的光合作用活动和生产力.以蒙山地区为研究区,本文利用250 m空间分辨率、8天合成MODIS地面反射率产品(MOD09Q1)计算了2001—2016年NDVI与植被近红外反射率指数(NIRv),并进行对比分析,在此基础上利用线性回归分析方法研究了近16年来蒙山植被覆盖时空动态变化.结果表明:⑴蒙山地区NDVI、NIRv的年内变化具有很好的一致性,在生长季数值较高而非生长季数值相对较低,并且在非生长季NIRv的波动要比NDVI的波动要小;(2)在年内变化上,NDVI和NIRv均表现出明显的季节性,两个指数均在8月份达到峰值;(3)从2001—2016年,NDVI、NIRv值整体呈上升趋势,且东南部上升趋势更明显.本研究客观揭示了区域植被的时空变化趋势,可为该区生态环境保护和治理提供参考.
Vegetation index,which is often calculated from bands with different width,can better reflect vegetation photosynthetic activity and productivity. We analyzed 8-day MODIS surface reflectance product( MOD09 Q1) at250 m spatial resolution in the Meng Mountain region,and calculated Normalized Difference Vegetation Index( NDVI) and the Near Infrared Reflectance of terrestrial Vegetation( NIRv) from 2001 to 2016. We made a comparison of the two indices,and investigated the spatial and temporal changes in vegetation using the linear regression method. The results showed that intra-annual variabilities of NDVI and NIRv were consistent,with relatively higher value in growing season and lower values in non-growing season. Furthermore,NIRv often fluctuated with smaller magnitude in the non-growing season. Regarding intra-annual variability,NDVI and NIRv showed pronounced seasonality with peak value occurring in August. From 2001 to 2016,NDVI and NIRv showed an increasing trend,especially in the southeast of Meng Mountain region. Our research revealed the spatial and temporal patterns of vegetation change,which could provide scientific evidence for eco-environmental protection and governance.
Vegetation index,which is often calculated from bands with different width,can better reflect vegetation photosynthetic activity and productivity. We analyzed 8-day MODIS surface reflectance product( MOD09 Q1) at250 m spatial resolution in the Meng Mountain region,and calculated Normalized Difference Vegetation Index( NDVI) and the Near Infrared Reflectance of terrestrial Vegetation( NIRv) from 2001 to 2016. We made a comparison of the two indices,and investigated the spatial and temporal changes in vegetation using the linear regression method. The results showed that intra-annual variabilities of NDVI and NIRv were consistent,with relatively higher value in growing season and lower values in non-growing season. Furthermore,NIRv often fluctuated with smaller magnitude in the non-growing season. Regarding intra-annual variability,NDVI and NIRv showed pronounced seasonality with peak value occurring in August. From 2001 to 2016,NDVI and NIRv showed an increasing trend,especially in the southeast of Meng Mountain region. Our research revealed the spatial and temporal patterns of vegetation change,which could provide scientific evidence for eco-environmental protection and governance.
引文
[1]Turner W,Spector S,Gardiner N,et al.Remote sensing for biodiversity science and conservation[J].Trends in Ecology&Evolution,2003,18(6):306-314.
[2]Tucker C,Pinzon J,Brown M,et al.An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data[J].International Journal of Remote Sensing,2005,26(20):4485-4498.
[3]Southworth J,Gibbes C.Digital remote sensing within the field of land change science:past,present and future directions[J].Geography Compass,2010,4(12):1695-1712.
[4]田庆久,闵祥军.植被指数研究进展[J].地球科学进展,1998,13(4):327-333.
[5]贾坤,姚云军,魏香琴,等.植被覆盖度遥感估算研究进展[J].地球科学进展,2013,28(7):774-782.
[6]Zhu Z,Bi J,Pan Y,et al.Global data sets of vegetation leaf area index(LAI)3g and fraction of photosynthetically active radiation(FPAR)3g derived from global inventory modeling and mapping studies(GIMMS)normalized difference vegetation index(NDVI3g)for the period 1981 to 2011[J].Remote Sensing,2013,5(2):927-948.
[7]Zhao M,Running S.Drought-induced reduction in global terrestrial net primary production from 2000 through 2009[J].Science,2010,329(5994):940-943.
[8]陈晋,陈云浩,何春阳,等.基于土地覆被分类的植被覆盖率估算亚像元模型与应用[J].遥感学报,2001,5(6):416-422.
[9]Myneni R B,Keeling C D,Tucker C J,et al.Increasing plant growth in the northern high latitude from 1981 to 1991[J].Nature,1997,386(6626):698-702.
[10]Pettorelli N,Vik J O,Mysterud A,et al.Using the satellite-derived NDVI to assess ecological responses to environmental change[J].Trends in Ecology&Evolution,2005,20(9):503-510.
[11]Piao S,Wang X,Ciais P,et al.Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006[J].Global Change Biology,2011,17(10):3228-3239.
[12]Xu L,Myneni R B,Chapin F S,et al.Temperature and vegetation seasonality diminishment over northern lands[J].Nature Climate Change,2013,3(6):581-586.
[13]龙岳红,秦建新,贺新光,等.洞庭湖流域植被动态变化的小波多分辨率分析[J].地理学报,2015,70(9):1491-1502.
[14]李双双,严军平,万佳,等.近10年陕甘宁黄土高原区植被覆盖时空变化特征[J].地理学报,2012,67(7):98-108.
[15]张丽,何晓旭,魏鸣.基于NDVI的淮河流域植被覆盖度动态变化[J].长江流域资源与环境,2012,21(s1):51-56.
[16]陈斌,李海东,曹学章,等.基于SPOT-VGT NDVI的雅鲁藏布江流域植被动态变化[J].山地学报,2016,34(2):246-156.
[17]Badgley G,Field C B,Berry J A.Canopy near-infrared reflectance and terrestrial photosynthesis[J].Science Advances,2017,3(3):e1602244.
[18]陈婷婷,孙希华.基于GIS的沂蒙山区植被格局变化驱动力研究[J].水土保持研究,2008,15(5):26-29.
[19]高远,朱孔山,郝加琛,等.山东蒙山6种造林树种40余年成林效果评价[J].植物生态学报,2013,37(8):728-738.
[20]战海霞,张光灿,刘霞,等.沂蒙山林区不同植物群落的土壤颗粒分形与水分入渗特征[J].中国水土保持科学,2009,7(1):49-56.
[21]赵兴云.山东蒙山旅游资源可持续利用研究[J].国土资源科技管理,2002(4):49-52.
[22]蒋万祥,陈静,王洪凯,等.山东蒙山线蚓群落结构及其影响因子研究[J].生态与农村环境学报,2013,29(2):203-208.
[23]梁仁君.蒙山旅游资源可持续开发利用的调控途径[J].中国资源综合利用,2004(5):39-43.
[2]Tucker C,Pinzon J,Brown M,et al.An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data[J].International Journal of Remote Sensing,2005,26(20):4485-4498.
[3]Southworth J,Gibbes C.Digital remote sensing within the field of land change science:past,present and future directions[J].Geography Compass,2010,4(12):1695-1712.
[4]田庆久,闵祥军.植被指数研究进展[J].地球科学进展,1998,13(4):327-333.
[5]贾坤,姚云军,魏香琴,等.植被覆盖度遥感估算研究进展[J].地球科学进展,2013,28(7):774-782.
[6]Zhu Z,Bi J,Pan Y,et al.Global data sets of vegetation leaf area index(LAI)3g and fraction of photosynthetically active radiation(FPAR)3g derived from global inventory modeling and mapping studies(GIMMS)normalized difference vegetation index(NDVI3g)for the period 1981 to 2011[J].Remote Sensing,2013,5(2):927-948.
[7]Zhao M,Running S.Drought-induced reduction in global terrestrial net primary production from 2000 through 2009[J].Science,2010,329(5994):940-943.
[8]陈晋,陈云浩,何春阳,等.基于土地覆被分类的植被覆盖率估算亚像元模型与应用[J].遥感学报,2001,5(6):416-422.
[9]Myneni R B,Keeling C D,Tucker C J,et al.Increasing plant growth in the northern high latitude from 1981 to 1991[J].Nature,1997,386(6626):698-702.
[10]Pettorelli N,Vik J O,Mysterud A,et al.Using the satellite-derived NDVI to assess ecological responses to environmental change[J].Trends in Ecology&Evolution,2005,20(9):503-510.
[11]Piao S,Wang X,Ciais P,et al.Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006[J].Global Change Biology,2011,17(10):3228-3239.
[12]Xu L,Myneni R B,Chapin F S,et al.Temperature and vegetation seasonality diminishment over northern lands[J].Nature Climate Change,2013,3(6):581-586.
[13]龙岳红,秦建新,贺新光,等.洞庭湖流域植被动态变化的小波多分辨率分析[J].地理学报,2015,70(9):1491-1502.
[14]李双双,严军平,万佳,等.近10年陕甘宁黄土高原区植被覆盖时空变化特征[J].地理学报,2012,67(7):98-108.
[15]张丽,何晓旭,魏鸣.基于NDVI的淮河流域植被覆盖度动态变化[J].长江流域资源与环境,2012,21(s1):51-56.
[16]陈斌,李海东,曹学章,等.基于SPOT-VGT NDVI的雅鲁藏布江流域植被动态变化[J].山地学报,2016,34(2):246-156.
[17]Badgley G,Field C B,Berry J A.Canopy near-infrared reflectance and terrestrial photosynthesis[J].Science Advances,2017,3(3):e1602244.
[18]陈婷婷,孙希华.基于GIS的沂蒙山区植被格局变化驱动力研究[J].水土保持研究,2008,15(5):26-29.
[19]高远,朱孔山,郝加琛,等.山东蒙山6种造林树种40余年成林效果评价[J].植物生态学报,2013,37(8):728-738.
[20]战海霞,张光灿,刘霞,等.沂蒙山林区不同植物群落的土壤颗粒分形与水分入渗特征[J].中国水土保持科学,2009,7(1):49-56.
[21]赵兴云.山东蒙山旅游资源可持续利用研究[J].国土资源科技管理,2002(4):49-52.
[22]蒋万祥,陈静,王洪凯,等.山东蒙山线蚓群落结构及其影响因子研究[J].生态与农村环境学报,2013,29(2):203-208.
[23]梁仁君.蒙山旅游资源可持续开发利用的调控途径[J].中国资源综合利用,2004(5):39-43.